Multistep energy consumption forecasting by metaheuristic optimization of time-series analysis and machine learning (vol 45, pg 4581, 2021)

被引:0
作者
Chou
Truong
机构
关键词
D O I
10.1002/er.8771
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
引用
收藏
页码:24671 / 24671
页数:1
相关论文
共 50 条
[31]   Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series [J].
Le, Thanh Tuan ;
Sharma, Prabhakar ;
Osman, Sameh M. ;
Dzida, Marek ;
Nguyen, Phuoc Quy Phong ;
Tran, Minh Ho ;
Cao, Dao Nam ;
Tran, Viet Dung .
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2024, 26 (12) :4405-4431
[32]   Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas [J].
Ferraz, Filipe ;
Ribeiro, Diogo ;
Lopes, Marta B. ;
Pedro, Sonia ;
Vinga, Susana ;
Carvalho, Alexandra M. .
MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE, LOD 2023, PT I, 2024, 14505 :174-188
[33]   INCOME AND PRICE ELASTICITIES OF ENERGY-CONSUMPTION IN EGYPT - A TIME-SERIES ANALYSIS [J].
ABDELKHALEK, G .
ENERGY ECONOMICS, 1988, 10 (01) :47-58
[34]   An improved model for building energy consumption prediction based on time-series analysis [J].
Xiao, Shirui .
Proceedings of the Institution of Civil Engineers: Smart Infrastructure and Construction, 2023, 178 (01) :10-19
[35]   Forecasting US fats and oils consumption demand: Econometric/time-series analysis model. [J].
Perera, JR .
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 1997, 79 (05) :1725-1725
[36]   Adaptive Time Series Forecasting of Energy Consumption using Optimized Cluster Analysis [J].
Laurinec, Peter ;
Loderer, Marek ;
Vrablecova, Petra ;
Lucka, Maria ;
Rozinajova, Viera ;
Ezzeddine, Anna Bou .
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2016, :398-405
[37]   Evaluating and contrasting machine learning and statistical techniques for time series forecasting with hyperparameter optimization [J].
Shakila, C.V. ;
Khadar Babu, S.K. .
Results in Engineering, 2025, 27
[38]   Productivity Forecasting of Newly Added Workers Based on Time-Series Analysis and Site Learning [J].
Kim, Hyunsoo ;
Lee, Hyun-Soo ;
Park, Moonseo ;
Ahn, Changbum R. ;
Hwang, Sungjoo .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2015, 141 (09)
[39]   Forecasting daily natural gas consumption with regression, time series and machine learning based methods [J].
Yucesan, Melih ;
Pekel, Engin ;
Celik, Erkan ;
Gul, Muhammet ;
Serin, Faruk .
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2025, 47 (01) :4605-4620
[40]   Financial time-series analysis of Brazilian stock market using machine learning [J].
Diniz Campos Ferreira, Fernando Garcia ;
Gandomi, Amir H. ;
Nogueira Cardoso, Rodrigo Tomas .
2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2020, :2853-2860